KittenTTS is an open-source, ultra-lightweight, and high-quality text-to-speech model featuring just 15 million parameters and a binary size under 25 MB. It is designed for real-time CPU-based deployment across diverse platforms. Ultra-lightweight, model size less than 25MB. CPU-optimized, runs without GPU on any device. High-quality voices, several premium voice options available. Fast inference, optimized for real-time speech synthesis.

Features

  • Model size under 25 MB for easy distribution and deployment
  • CPU-optimized inference—no GPU required
  • Produces high-quality, realistic voices available in multiple pre‑defined options (e.g., expr‑voice‑2‑f/m through expr‑voice‑5‑f/m)
  • Fast, real-time audio generation suitable for interactive applications
  • Python API for easy integration (pip install and usage from Python)
  • Apache 2.0 licensed for permissive reuse and modification

Project Samples

Kitten TTS Screenshot 1

Project Activity

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Categories

Text to Speech, AI Models, Text-to-Speech (TTS) Models

License

Apache License V2.0

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Kitten TTS Web Site

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Additional Project Details

Operating Systems

Android, Apple iPhone, Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Text to Speech Software, Python AI Models, Python Text-to-Speech (TTS) Models

Registered

2025-08-08
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